Artificial intelligence to deep learning: machine intelligence approach for drug discovery

R Gupta, D Srivastava, M Sahu, S Tiwari, RK Ambasta… - Molecular …, 2021 - Springer
Drug designing and development is an important area of research for pharmaceutical
companies and chemical scientists. However, low efficacy, off-target delivery, time …

Systems biology primer: the basic methods and approaches

I Tavassoly, J Goldfarb, R Iyengar - Essays in biochemistry, 2018 - portlandpress.com
Systems biology is an integrative discipline connecting the molecular components within a
single biological scale and also among different scales (eg cells, tissues and organ systems) …

Sobol sensitivity analysis: a tool to guide the development and evaluation of systems pharmacology models

XY Zhang, MN Trame, LJ Lesko… - CPT: pharmacometrics & …, 2015 - Wiley Online Library
A systems pharmacology model typically integrates pharmacokinetic, biochemical network,
and systems biology concepts into a unifying approach. It typically consists of a large …

Good practices in model‐informed drug discovery and development: practice, application, and documentation

EFPIA MID3 Workgroup, SF Marshall… - CPT …, 2016 - Wiley Online Library
This document was developed to enable greater consistency in the practice, application,
and documentation of Model‐Informed Drug Discovery and Development (MID3) across the …

A human liver microphysiology platform for investigating physiology, drug safety, and disease models

LA Vernetti, N Senutovitch, R Boltz… - Experimental …, 2016 - journals.sagepub.com
This paper describes the development and characterization of a microphysiology platform
for drug safety and efficacy in liver models of disease that includes a human, 3D …

Machine learning in pharmacometrics: Opportunities and challenges

M McComb, R Bies… - British Journal of Clinical …, 2022 - Wiley Online Library
The explosive growth in medical devices, imaging and diagnostics, computing, and
communication and information technologies in drug development and healthcare has …

Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data

G Lorenzo, SR Ahmed, DA Hormuth II… - Annual Review of …, 2023 - annualreviews.org
Despite the remarkable advances in cancer diagnosis, treatment, and management over the
past decade, malignant tumors remain a major public health problem. Further progress in …

Multi-omics research strategies in ischemic stroke: A multidimensional perspective

W Li, C Shao, H Zhou, H Du, H Chen, H Wan… - Ageing Research …, 2022 - Elsevier
Ischemic stroke (IS) is a multifactorial and heterogeneous neurological disorder with high
rate of death and long-term impairment. Despite years of studies, there are still no stroke …

Herb pair Danggui-Honghua: mechanisms underlying blood stasis syndrome by system pharmacology approach

SJ Yue, LT Xin, YC Fan, SJ Li, YP Tang, JA Duan… - Scientific reports, 2017 - nature.com
Abstract Herb pair Danggui-Honghua has been frequently used for treatment of blood stasis
syndrome (BSS) in China, one of the most common clinical pathological syndromes in …

Systems biology approaches for advancing the discovery of effective drug combinations

KA Ryall, AC Tan - Journal of cheminformatics, 2015 - Springer
Complex diseases like cancer are regulated by large, interconnected networks with many
pathways affecting cell proliferation, invasion, and drug resistance. However, current cancer …